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[Special EffectsBayesian

Description: 我写的贝叶斯fusion的VC++源码,简明易懂,提供参数说明
Platform: | Size: 5843 | Author: 阿姆罗 | Hits:

[Special Effectsdwh_source

Description: 贝叶斯变换应用于图像方面的函数代码,matlab平台,已经测试调试完毕-Bayesian Image Transform applied to the function code, Matlab platforms, has completed testing Debugging
Platform: | Size: 16384 | Author: tuoge | Hits:

[Special EffectsBayesian

Description: 我写的贝叶斯fusion的VC++源码,简明易懂,提供参数说明-I wrote Bayesian fusion of VC++ Source, easy to understand and provide parameters
Platform: | Size: 5120 | Author: 阿姆罗 | Hits:

[matlabFusion2

Description: 采用贝叶斯推论的数据融合,将CHAN算法和泰勒算法的结果经过处理,得到更好的定位结果-Bayesian inference using the data fusion, will CHAN Taylor algorithm and the results of algorithm after treatment, get better positioning results
Platform: | Size: 1024 | Author: 张靖悦 | Hits:

[Industry research2

Description: 多特征信息融合的贝叶斯网络故障诊断方法研究-Multi-feature information fusion fault diagnosis method of Bayesian networks
Platform: | Size: 1079296 | Author: xionggj | Hits:

[matlabBayes-information-fusion

Description: 多元验前信息下的贝叶斯融合算法,以指数型寿命电子产品为例-Multivariate Bayesian prior information fusion algorithm
Platform: | Size: 31744 | Author: tao | Hits:

[AlgorithmBFFusion2a

Description: 采用贝叶斯推论的数据融合,将CHAN算法和泰勒算法的结结果经过处理,得到更好的定位结果,已通过测试。 -Bayesian inference using the data fusion, will CHAN Taylor algorithm and the results of algorrithm processed and better positioning of the results of the full source code, has been tested.
Platform: | Size: 1024 | Author: | Hits:

[Windows DevelopWBBaayesianr

Description: 我写的贝叶斯fusion的Visual C+++源码,简明易懂,提供参数说明 可直接使用。 -The Bayesian fusion the Visual C+++ of what I wrote source, easy-to-understand parameters can be used directly.
Platform: | Size: 6144 | Author: wyq52103 | Hits:

[OtherImproved-Bayesian-

Description: 改进的贝叶斯多分类器组合规则,通过此方法可以进行决策融合-The improved Bayesian combination of multiple classifiers Rules decision fusion by this method
Platform: | Size: 182272 | Author: panhao | Hits:

[OtherImage-Fusion-Alg_and_App

Description: 图像融合:算法及应用一书提供了在这一领域最新的进展,包括了贝叶斯方法,ICA和小波方法。它还包含了关于图像马赛克,遥感应用等的极有价值的资料。-Image Fusion: Algorithms and Applications provides a representative collection of the recent advances in research and development in the field of image fusion, demonstrating both spatial domain and transform domain fusion methods including Bayesian methods, statistical approaches, ICA and wavelet domain techniques. It also includes valuable material on image mosaics, remote sensing applications and performance evaluation.
Platform: | Size: 10486784 | Author: zxcvb | Hits:

[matlabpaper4

Description: 论文一篇:基于Bayesian压缩感知的融合算法.pdf-Based on Bayesian compressed sensing fusion algorithm. Pdf
Platform: | Size: 941056 | Author: li | Hits:

[Graph Drawingronghe

Description: 两个传感器进行串联形式连接,融合系统贝叶斯风险曲线以及ROC曲线-Two sensors are connected in series, as well as fusion system Bayesian risk curve ROC curve
Platform: | Size: 1024 | Author: qctbag | Hits:

[matlab1001-3695(2013)02-0613-03

Description: 基于Bayesian压缩感知的融合算法.pdf-Image fusion algorithm based on bayesian compressive sensing
Platform: | Size: 941056 | Author: wang | Hits:

[Special EffectsLaplace-kalman-bayes-kalman

Description: 拉普拉斯(Laplace)、卡尔曼(kalman)、贝叶斯(bayes)几种关于图像处理中图像融合或滤波的matlab源程序。-Laplace (Laplace), Kalman (kalman), Bayesian (bayes) several image processing or filtering in image fusion matlab source.
Platform: | Size: 450560 | Author: 李晓玲 | Hits:

[Video Capture2014_DAC_bmf

Description: BMF-BD: Bayesian Model Fusion on Bernoulli Distribution for Efficient Yield Estimation of Integrated Circuits
Platform: | Size: 257024 | Author: djoudi | Hits:

[matlabvxqtezad

Description: 包括主成分分析、因子分析、贝叶斯分析,添加噪声处理,调试通过可以使用,计算多重分形非趋势波动分析,感应双馈发电机系统的仿真,用于特征降维,特征融合,相关分析等。- Including principal component analysis, factor analysis, Bayesian analysis, Add noise processing, Debugging can be used, Calculate the multifractal trend fluctuation analysis, Simulation of doubly fed induction generator system, For feature reduction, feature fusion, correlation analysis.
Platform: | Size: 11264 | Author: ctuzcq | Hits:

[matlabceaiszed

Description: 用于特征降维,特征融合,相关分析等,使用拉亚普诺夫指数的公式,包括面积、周长、矩形度、伸长度,预报误差法参数辨识-松弛的思想,最终的权值矩阵就是滤波器的系数,包括主成分分析、因子分析、贝叶斯分析。- For feature reduction, feature fusion, correlation analysis, Raya Punuo Fu index using the formula, Including the area, perimeter, rectangular, elongation, Prediction Error Method for Parameter Identification- the idea of relaxation, The final weight matrix is ??the filter coefficient, Including principal component analysis, factor analysis, Bayesian analysis.
Platform: | Size: 5120 | Author: mebhyh | Hits:

[matlabhqhwkudc

Description: 合成孔径雷达(SAR)目标成像仿真,在matlab R2009b调试通过,包括主成分分析、因子分析、贝叶斯分析,IDW距离反比加权方法,用于特征降维,特征融合,相关分析等,通过反复训练模板能有较高的识别率。- Synthetic Aperture Radar (SAR) imaging simulation target, In matlab R2009b debugging through, Including principal component analysis, factor analysis, Bayesian analysis, IDW inverse distance weighting method, For feature reduction, feature fusion, correlation analysis, Through repeated training sQRvxUhlate have higher recognition rate.
Platform: | Size: 12288 | Author: jymquc | Hits:

[matlabpneihucp

Description: 采用的是脉冲对消法,直线阵采用切比学夫加权控制主旁瓣比,给出接收信号眼图及系统仿真误码率,用于特征降维,特征融合,相关分析等,包括主成分分析、因子分析、贝叶斯分析。-It uses a pulse of consumer law, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, The received signal is given eye and BER simulation systems, For feature reduction, feature fusion, correlation analysis, Including principal component analysis, factor analysis, Bayesian analysis.
Platform: | Size: 7168 | Author: gxnfmwped | Hits:

[Photo softwareVisual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization

Description: 这是一篇关于VI-SLAM的优秀学位论文 VI-SLAM (Visual-Inertial Simultaneous Localization and Mapping) is a popular way for robotics navigation and tracking. With the help of sensor fusion from IMU and camera, VI-SLAM can give a more accurate solution for navigation. One important problem needs to be solved in VI-SLAM is that we need to know accurate relative position between camera and IMU, we call it extrinsic parameter. However, our measurement to the rotation and translation between IMU and camera is noisy. If the measurement is slightly o , the result of SLAM system will be much more away from the ground truth after a long run. Optimization is necessary. This paper uses a global optimization method called Bayesian Optimization to optimize the relative pose between IMU and camera based on the sliding window residual output from VISLAM. The advantage of using Bayesian Optimization is that we can get an accurate pose estimation between IMU and camera from a large searching range. Whats more, thanks to the Gaussian Process or T process of Bayesian Optimization, we can get a result with a known uncertainty, which cannot be done by many optimization solutions.
Platform: | Size: 3178620 | Author: kcfucx | Hits:
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